Randomness conservation inequalities; information and independence in mathematical theories
Information and Control
Analysis and design of stream ciphers
Analysis and design of stream ciphers
An introduction to Kolmogorov complexity and its applications (2nd ed.)
An introduction to Kolmogorov complexity and its applications (2nd ed.)
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
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A model for the problem of predicting the outputs of a process, based only on knowledge of previous outputs, is proposed in terms of a decision problem. The strength of this particular formulation of the decision problem follows from the accuracy of its outputs in predicting the outputs of any particular deterministic process, and this predictability is quantified in terms of the number of bits the process may generate, and its length/time complexity. Both upper and lower bounds on the computational complexity of this decision problem are provided